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करणरसक सपकषतम गर खणडकवयक वशलषण

2024· article· ne· W4411669228 on OpenAlexaff
Dev Raj Bhattarai

Bibliographic record

VenueSudurpaschim Spectrum · 2024
Typearticle
Languagene
FieldEngineering
TopicMilitary Technology and Strategies
Canadian institutionsWestern University
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

माधवप्रसाद घिमिरेको गौरी खण्डकाव्य नपाली साहित्यको अमूल्य निधि हो । यस खण्डकाव्यको आदिदेखि अन्त्यसम्म करुणरस प्रवाहित भएको पाइन्छ । यस कृतिको करुणरसका दृष्टिले अहिलेसम्म अध्ययन नभएकाले त्यही रिक्तता परिपूर्तिका लागि यो अध्ययन गररएको छ । यसरी गौरी खण्डकाव्यमा प्रयोग भएको करुणरसको पहिचान र विश्लेषण गर्नु यस अध्ययनको प्रमुख उद्देश्य हो । यस अध्ययनमा पुस्तकालयबाट सामग्री सङ्कलन गरी पूर्वीय रससिद्धान्तको सैद्धान्तिक मान्तयताका आधारमा गुणात्मक ढाँचा प्रयोग गरी गौरी खण्डकाव्यका करुणरससँग सम्बन्धित विशिष्ट श्लोकको पाठपरक विश्लेषण गररएको छ । करुणरसको स्थायी भाव शोक हो । इष्टजनको वियोग, वैभवको नाश, प्रिय व्यक्तिको वध, प्रियजनसितको वियोग वा मरण देखर वा सुनेर मनमा उत्पन्तन हुने विकलताबाट करुणरस उत्पन्न हुन्छ । गौरी खण्डकाव्यमा पनि घिमिरेले उनकी धर्मपत्नी गौरीको मृत्युपश्चात् घोर निराशाका दिनहरूमा आफ्ना मनोगत भावहरू करुणरसमा प्रस्तुत गरेका छन् । यसरी घिमिरेकी पत्नीको दुःखद निधनले कविहृदयमा उठेका निराशाका ज्वारहरू करणरसमा कसरी प्रस्तुत भएका छन् भन्ने कुराको अध्ययन यस लेखमा गरिएको छ । यसैगरी यस अध्ययनमा करुणरसका रससामग्री विभाव, अनुभाव र व्यभिचारी भावहरूका कारण करुणरस कसरी परिपाक अवस्थामा पुगको छ भन्ने कुराको चर्चा गरिएको छ । यसरी विश्लेषणगर्दा गौरी खण्डकाव्य करुणरस प्रयोगका दृष्टिले उच्च कोटीको छ भन्ने यस अध्ययनको निष्कर्ष रहेको छ ।

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0040.009
Scholarly communication0.0080.008
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.209
Teacher spread0.203 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2024
Admission routes1
Has abstractyes

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